A method for quickly predicting fatty acid content of feed duck oil based on near-infrared spectroscopy
To rapidly predict characteristic duck oil fatty acid content,this study established a method to predict the content of six fatty acids including palmitic acid,palmitoleic acid,stearic acid,oleic acid,linoleic acid,and linolenic acid based on near-infrared spectroscopy.Gas chromatographic method was used to test the fatty acid composition of samples and collect near-infrared spectra.Standard Normal Variate Transformation(SNV)and other methods were used to preprocess the spectral information,and the optimal spectral preprocessing method was selected.The improved partial least square method(mPLS)was used to establish an optimal near-infrared prediction model with 1-VR(Determination coefficient of SECV)and SECV values(Standard error of cross validation).The results showed that:1)This model was independently verified with the validation set samples,The SEP(Standard error of prediction)and SEC(Standard error of calibration)of the verification results were in accordance with the"SEP/SEC≤1.2"principle stipulated in AACC 39-00.2)The R2 of the palmitic acid,palmitoleic acid,stearic acid,oleic acid,linoleic acid,and linolenic was 0.889、0.916、0.869、0.918、0.979 and 0.927,indicating that the established near-infrared prediction model can effectively predict the content of six fatty acids in duck oil.The rapid detection method for characteristic fatty acids n feed duck oil established in this study could meet a certain degree of rapid detection needs,providing a fast and convenient technical method and theoretical reference for evaluating the quality of feed duck oil.
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